hhyhrhy/MM-ACT-data

MM-ACT Data: Learn from Multimodal Parallel Generation to Act This repository contains the datasets associated with the paper MM-ACT: Learn from Multimodal Parallel Generation to Act. MM-ACT is a unified Vision-Language-Action (VLA) model that integrates text, image, and action in a shared token space and performs generation across all three modalities. This dataset provides crucial data for training and evaluating such generalist robotic policies. Code:… See the full description on the dataset page: https://huggingface.co/datasets/hhyhrhy/MM-ACT-data.

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